Performance Analysis of Generalized Product Codes with Irregular Degree Distribution
Sisi Miao, Jonathan Mandelbaum, Karlsruhe Institute of Technology, Germany; Lukas Rapp, Massachusetts Institute of Technology, United States; Holger Jäkel, Laurent Schmalen, Karlsruhe Institute of Technology, Germany
Session:
Iterative Decoding
Track:
2: Modern Coding Theory
Location:
Ypsilon IV-V-VI
Presentation Time:
Fri, 12 Jul, 14:55 - 15:15
Session Chair:
Michael Lentmaier,
Abstract
This paper investigates the theoretical analysis of intrinsic message passing decoding for generalized product codes (GPCs) with irregular degree distributions, a generalization of product codes that allows every code bit to be protected by a minimum of two and potentially more component codes. We derive a random hypergraph-based asymptotic performance analysis for GPCs, extending previous work that considered the case where every bit is protected by exactly two component codes. The analysis offers a new tool to guide the code design of GPCs by providing insights into the influence of degree distributions on the performance of GPCs.